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Machine Learning Ai Jobs in Florida (NOW HIRING)

AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and ...

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Machine Learning Ai information

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$19.1K

$31.8K

$65.8K

How much do machine learning ai jobs pay per year?

As of Jul 5, 2026, the average yearly pay for machine learning ai in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Engineer, and why are they important?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Software Developer, and AI Product Manager. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and understanding of algorithms and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What is AI ML salary?

The salary for a Machine Learning Engineer or AI specialist varies based on experience, location, and skill set, but typically ranges from $80,000 to over $150,000 annually in many regions. Advanced skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch can influence compensation levels.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong industry demand can earn salaries of $500,000 or more annually, especially in high-paying sectors like technology and finance. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What cities in Florida are hiring for Machine Learning Ai jobs? Cities in Florida with the most Machine Learning Ai job openings:
Infographic showing various Machine Learning Ai job openings in Florida as of June 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.
Applications Developer- Machine Learning/AI

Applications Developer- Machine Learning/AI

Kavaliro

Tampa, FL • On-site

Full-time

Posted 9 days ago


Job description

Job Description
AI Applications Developer Enterprise AI | Machine Learning | Secure Private AI Environment | Public Sector Innovation
We are partnering with a highly innovative public sector organization actively investing in the future of Artificial Intelligence, Machine Learning, intelligent automation, and secure enterprise AI deployment.
This is a unique opportunity to join a forward-thinking technology team building and deploying real-world AI solutions inside a secure, isolated, proprietary AI environment supporting mission-critical internal operations.
This organization is moving aggressively into next-generation AI adoption and is seeking someone who wants to work on the front lines of enterprise AI innovation, helping shape how artificial intelligence is deployed in highly secure environments where data privacy, security, and operational impact are critical.
If you are excited by emerging AI technologies and want to build solutions that go beyond experimentation into real-world deployment, this role offers an exceptional opportunity.
What You'll Be Working On
  • Design and build AI-powered applications supporting enterprise operational initiatives
  • Develop, train, optimize, and deploy machine learning models
  • Integrate AI solutions into existing internally developed applications and enterprise systems
  • Build and experiment with Large Language Models (LLMs) for automation, analytics, and operational workflows
  • Develop RAG (Retrieval-Augmented Generation) pipelines and vector database integrations
  • Build intelligent internal search, automation, and decision-support tools
  • Work with structured and unstructured enterprise data from APIs, databases, logs, documents, and internal systems
  • Prototype emerging AI technologies and evaluate practical enterprise deployment opportunities
  • Collaborate with technical teams and internal stakeholders to identify new AI use cases and innovation opportunities
  • Continuously test and implement new technologies driving enterprise AI transformation
Required Experience
We are looking for candidates with real-world, hands-on experience working with AI technologies in an enterprise or organizational environment.
Minimum Qualifications
  • Minimum 1+ years of practical hands-on Artificial Intelligence / Machine Learning experience within a professional business, enterprise, or organizational environment
  • Strong application development or software engineering background building enterprise systems and integrations
  • Experience with any combination of the following technologies (candidates are NOT expected to have all technologies listed):
AI / Machine Learning Technologies
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Keras
  • ML.NET
LLM / AI Engineering Technologies
  • LangChain
  • Ollama
  • Open-source LLM frameworks
  • Vector Databases
  • Retrieval-Augmented Generation (RAG)
  • AI Agent Frameworks
Development Technologies
  • C# / .NET
  • REST APIs
  • SQL / Database Development
  • Full Stack Development
  • Enterprise Application Development
  • System Integrations
Who Will Succeed In This Role
We are specifically seeking someone who:
  • Brings high energy, curiosity, and strong problem-solving ability
  • Thrives in a fast-paced environment where innovation moves quickly
  • Wants to work at the forefront of enterprise AI implementation and emerging technology adoption
  • Enjoys solving complex technical problems and building practical AI solutions
  • Can quickly learn, adapt, experiment, and implement new technologies
  • Wants to work in a secure, highly controlled private AI ecosystem rather than relying on public AI tools
  • Is excited about helping shape how AI is deployed inside mission-critical enterprise environments
Additional Requirements
Because this position supports a highly secure public sector environment, candidates must be able to:
  • Successfully pass an extensive background investigation
  • Successfully complete a drug screening process
  • Work within a secure environment requiring strict confidentiality and responsible data handling practices
  • Meet eligibility requirements associated with working in a highly regulated operational environment
Why This Role Is Different
This is not a typical software development position.
You will be working directly on next-generation AI initiatives inside a highly secure enterprise environment, helping build proprietary AI systems and internal automation capabilities for an organization making significant investments in the future of Artificial Intelligence.
Few organizations are deploying AI at this level within secure operational environments.
If you want to work where AI is actively being built, deployed, and scaled in real-world enterprise applications, this opportunity is worth serious consideration.
Location: Onsite
Employment Type: Full Time
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Job Requirements
On-Site
By using best practices and optimal employee recruiting strategies, Kavaliro provides employers with employment solutions by providing the most qualified and professional employees, who can staff both project and permanent positions in order to ensure the ongoing success of all types of businesses. We use a streamlined-yet-thorough approach to staffing that saves our clients administrative time, resources and money.